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FIMI
2004
123views Data Mining» more  FIMI 2004»
15 years 8 months ago
Surprising Results of Trie-based FIM Algorithms
Trie is a popular data structure in frequent itemset mining (FIM) algorithms. It is memory-efficient, and allows fast construction and information retrieval. Many trie-related tec...
Ferenc Bodon
FLAIRS
2006
15 years 8 months ago
Mining the Web to Determine Similarity Between Words, Objects, and Communities
The World Wide Web provides a wealth of data that can be harnessed to help improve information retrieval and increase understanding of the relationships between different entities...
Mehran Sahami
SIGIR
2005
ACM
16 years 2 days ago
Personalizing search via automated analysis of interests and activities
We formulate and study search algorithms that consider a user’s prior interactions with a wide variety of content to personalize that user’s current Web search. Rather than re...
Jaime Teevan, Susan T. Dumais, Eric Horvitz
HT
2007
ACM
15 years 10 months ago
Simplifying web traversals by recognizing behavior patterns
Web sites must often service a wide variety of clients. Thus, it is inevitable that a web site will allow some visitors to find their information quickly while other visitors have...
Christian Doerr, Daniel von Dincklage, Amer Diwan
CIKM
2009
Springer
16 years 1 months ago
Combining labeled and unlabeled data with word-class distribution learning
We describe a novel simple and highly scalable semi-supervised method called Word-Class Distribution Learning (WCDL), and apply it the task of information extraction (IE) by utili...
Yanjun Qi, Ronan Collobert, Pavel Kuksa, Koray Kav...